An explainable artificial intelligence demonstrator for mapping pollution and steering the local ecological transition.

AMELIA (Mobility and Environmental Mapping for Territorial Planning) is a decision-making tool that incorporates frugal and explainable artificial intelligence (AI). It predicts health and environmental impacts through dynamic mapping of mobility and the environment, supporting local authorities in sustainable territorial planning and strategies.

AMELIA, created by a public-private consortium led by Waltr and supported by the France 2030 plan, aims to demonstrate the potential of frugal AI in ecological territorial planning. Based on the fusion of environmental, socio-economic, and spatial data, the tool provides dynamic mapping of mobility and pollution (air and noise) as well as their health impacts on a local scale. Deployed in the Paris Est Marne & Bois region, it helps elected officials identify priorities for action, measure the impact of their public policies, and strengthen consistency between climate-air-energy plans (PCAET) and noise prevention plans (PPBE). Thanks to explainable and reproducible AI, AMELIA promotes decision-making based on shared data, transparency towards citizens, and the pooling of practices between local authorities.

13

local authorities in the Paris Est Marne & Bois region

85%

people in the Paris region exposed to poor air quality

520 000

affected residents

Benefits for communities and elected officials

  • Rapid identification of sources of pollution and noise pollution, and prediction of health and environmental impacts.
  • Prioritization of investments and actions with a high environmental impact.
  • Objective evaluation of public urban projects using shared tools.
  • Strengthening the “Sustainable & Innovative Territory” strategy for the Paris Est Marne & Bois region

Benefits for residents

  • Better understanding of public environmental policies and the choices made by elected officials.
  • Improved quality of life thanks to reduced mobility-related nuisances.
  • Access to clear and transparent information on air quality and noise levels in their municipality.

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